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This study examines the influence of transparency and accountability on the performance of public service delivery in Pakpak Bharat Regency. Using a quantitative research design, data were collected through questionnaires administered to residents who accessed public services provided by local government institutions. The data were analyzed using Structural Equation Modeling with Partial Least Squares (SEM‑PLS) to evaluate the relationships among the studied variables. The findings reveal that both transparency and accountability have a significant positive effect on public service performance, with transparency demonstrating a stronger influence compared to accountability. These results indicate that improving openness in governmental decision‑making processes and strengthening accountability mechanisms in the execution of public duties are essential strategies for enhancing service quality. The study provides practical implications for local governments, emphasizing the need to formulate policies that promote transparent governance and reinforce accountability structures to increase the effectiveness and efficiency of public service delivery. Overall, this research contributes to the growing body of literature on public sector governance by highlighting the critical role of transparency and accountability in improving public service outcomes at the regional level.

This study investigates the impact of intrinsic motivation, workload, and competence on job satisfaction, exploring its implications for employee performance, with job satisfaction serving as a mediating variable. A quantitative approach was employed, utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) for data analysis collected via questionnaires. The results reveal that intrinsic motivation has a positive but insignificant impact on job satisfaction and performance. Workload significantly improves job satisfaction but does not affect performance, while competence significantly enhances both job satisfaction and performance. Additionally, job satisfaction positively affects employee performance. The mediation analysis reveals that job satisfaction mediates the relationship between competence and workload on performance, but does not mediate the relationship between intrinsic motivation and performance. These findings highlight the critical roles of competence and job satisfaction in improving employee performance, suggesting that intrinsic motivation and workload may require additional factors, such as compensation and work environment, to be more effective.

This study aims to analyze the impact of participative leadership on voice behavior with knowledge sharing as a mediating variable among employees at PT. Jambi Ekspres Televisi. This research uses a quantitative approach with Structural Equation Modeling (SEM-PLS) technique analyzed using SmartPLS 4.0. The sample consists of 30 respondents selected through saturated sampling. Data were collected using a Likert scale questionnaire that measures the variables of participative leadership, voice behavior, and knowledge sharing. The results of the study show that (1) participative leadership, voice behavior, and knowledge sharing are at a high category; (2) participative leadership has a positive and significant impact on voice behavior; (3) participative leadership has a positive and significant impact on knowledge sharing; (4) knowledge sharing has a positive and significant impact on voice behavior; and (5) knowledge sharing significantly mediates the relationship between participative leadership and voice behavior. This study recommends that PT. Jambi Ekspres Televisi enhance participative leadership practices by strengthening two-way communication and implementing a more structured knowledge management system to improve performance and collaboration among employees.

This study aims to empirically analyze how the implementation of Green Supply Chain Standards and halal certification affects the competitiveness of Food and Beverage SMEs in Padang City. Sustainable economic development requires the integration of environmental and ethical aspects in the supply chain, especially in the food sector. In Padang City, Food and Beverage SMEs are the driving force of the economy, facing a dual challenge of meeting consumer demands for halal products and environmentally friendly practices. This study uses a quantitative approach with a survey method. Primary data were collected through questionnaires from a sample of owners or managers of food and beverage SMEs operating in Padang City. Data management is carried out using regression analysis or Structural Equation Modeling to test the hypothesis of the effect of independent variables GSCM and Halal Certification on the dependent variable (SME Competitiveness). This research is expected to demonstrate that the implementation of GSCM positively affects the competitiveness of SMEs, and halal certification also has a significant positive impact on competitiveness, especially in expanding market access and increasing Muslim consumer trust.

This study aims to simulate the M/M/1 queueing system using Python through a Modeling and Simulation approach supported by the Discrete-Event Simulation (DES) method. The objective of the research is to analyze key performance indicators of queueing behavior, including arrival time, service time, waiting time, queue length, and server utilization. The methodology employs DES, which models system behavior based on discrete events such as customer arrivals, service initiation, and service completion. The simulation generates stochastic arrival and service times using Poisson and exponential distributions, respectively. The results indicate that the DES-based M/M/1 simulation accurately reflects theoretical queueing behavior, showing increases in waiting times and queue lengths when arrival rates approach service rates, while server utilization corresponds to system load intensity. The findings demonstrate that DES is an effective approach for analyzing queue performance and can be extended to more complex models such as multi-server systems, priority queues, and predictive simulations using artificial intelligence.

Penelitian ini bertujuan merancang dan mengembangkan Sistem Informasi Penjualan berbasis web untuk Gerai Oleh-Oleh Bali yang selama ini masih menggunakan pencatatan manual dengan buku besar dan perhitungan menggunakan kalkulator. Sistem manual tersebut menyebabkan risiko kesalahan pencatatan, lambatnya proses pencarian data, serta kesulitan dalam pengarsipan data penjualan, pembelian, pemesanan, dan pengelolaan stok barang. Penelitian menggunakan metode pengembangan perangkat lunak Waterfall dengan pendekatan pemodelan Unified Modeling Language (UML). Tahapan yang dilakukan meliputi analisis kebutuhan melalui wawancara dengan pemilik gerai, perancangan sistem (Use Case Diagram dan Class Diagram), implementasi, pengujian unit, pengujian sistem menggunakan metode black-box testing, serta tahap pemeliharaan (maintenance). Sistem yang dibangun mencakup fitur login, dashboard, pengelolaan data master (supplier dan barang), transaksi penjualan dengan dukungan scan barcode, transaksi pembelian, laporan penjualan dan pembelian, serta pengelolaan user. Hasil pengujian black-box menunjukkan seluruh test case berstatus Valid dan sistem berfungsi sesuai harapan. Pada tahap maintenance dilakukan contoh corrective maintenance dengan perbaikan bug pada query laporan penjualan harian.Sistem informasi penjualan berbasis web yang dihasilkan mampu mempercepat proses transaksi, mengurangi kesalahan manusia, meningkatkan akurasi data, serta memudahkan pengelolaan stok dan pembuatan laporan secara real-time. Implementasi sistem ini memberikan solusi efektif bagi Gerai Oleh-Oleh Bali dalam meningkatkan efisiensi operasional dan interaksi dengan pelanggan.

Indonesian Sign Language (BISINDO) serves as a primary communication medium for the deaf community; however, limited public understanding often creates barriers during daily interactions. This study aims to develop a real-time BISINDO word-level translation system using hand landmark extraction and temporal modeling with Long Short-Term Memory (LSTM). The system employs MediaPipe Hands to detect 21 hand landmarks per frame, which are then processed as sequential motion patterns to classify five BISINDO words: saya, terima kasih, maaf, nama, and kamu. A total of 250 gesture samples were recorded under controlled lighting conditions as the primary dataset. The processed sequences were used to train the LSTM model, which was subsequently integrated with an ESP32 microcontroller and a DFPlayer Mini module to produce direct audio output. Experimental results show that the model achieved an average accuracy of 86%, with precision and recall values ranging from 0.81 to 0.94. The confusion matrix analysis indicates that most gestures were correctly classified, although some errors occurred in gestures with similar initial motion trajectories. Integration testing demonstrated an average system latency of 3.8 seconds and an audio output success rate of 85%. These findings indicate that the proposed system is capable of translating BISINDO word-level gestures accurately, responsively, and consistently in real-time conditions. This study provides a strong foundation for the broader development of sign language translation systems, with potential enhancements in vocabulary expansion, multi-user datasets, and hardware optimization for deployment in real-world environments.

Penelitian ini mengembangkan sistem pemantauan berbasis Internet of Things (IoT) untuk mengoptimalkan kinerja Mini PC dan pemeliharaan real-time di CV Permata Gemilang Jaya. Metodologi waterfall diterapkan menggunakanNodeMCU sebagai mikrokontroler utama, dilengkapi dengan sensor DHT22, DS18B20, dan INA219 untuk memantau parameter suhu, CPU, dan memori. Arsitektur sistem mengintegrasikan kerangka kerja Laravel dengan database MySQL, menghasilkan aplikasi web responsif dengan kontrol akses berbasisperan untuk Admin Pusat, Admin Regional, dan Teknisi Cabang. Infrastrukturserver cloud dengan konektivitas GSM cadangan memfasilitasi pemantauanterpusat di wilayah Ciayumajakuning. Desain sistem menggunakan Unified Modeling Language (UML) dengan diagram kasus penggunaan dan diagram aktivitas yang komprehensif. Penerapan sistem pemberitahuan otomatisdengan mekanisme peringatan berbasis ambang batas memungkinkan deteksidini anomali perangkat. Antarmuka yang dioptimalkan untuk selulermeningkatkan aksesibilitas teknisi untuk operasi lapangan. Validasi sistemmenunjukkan strategi pemeliharaan preventif yang sukses dalam mengurangiwaktu henti perangkat dan mengoptimalkan efisiensi operasional infrastrukturteknologi informasi.

Effective collaboration is a strategic imperative for contemporary organizations, yet its success hinges critically on team dynamics and underlying psychological factors like Trust and Psychological Safety. The purpose of this Systematic Literature Review (SLR) was to synthesize empirical research published between 2020 and 2025 to clarify how these psychological factors influence collaboration and team performance. Following the PRISMA guidelines, a rigorous search on Google Scholar using keywords such as "team performance," "psychological factors," and "collaboration" resulted in the final inclusion of 15 articles for in-depth synthesis. Findings confirm that Trust is the most vital psychological construct, acting as a crucial mediator: it successfully transmits the positive effects of Transactional Leadership on employee performance and, conversely, mediates the detrimental effect of Toxic Leadership leading to Employee Silence. Leadership Soft Skills and Emotional Intelligence are identified as primary antecedents that build perceived trustworthiness, which, in turn, significantly reduces Turnover Intention. The review also highlights emerging contexts: trust is now influenced by Agent-Related Factors in Human-AI Teams (HATs), and unconventional factors like Corporate Comedy are found to positively contribute to Group Cohesion. However, contradictory findings regarding trust's role in Knowledge Sharing suggest a significant research gap. This SLR concludes that building psychological capital is fundamental to effective collaboration and recommends that future research utilize Structural Equation Modeling (SEM) to validate conceptual frameworks and employ mixed-methods approaches to resolve contextual conflicts within the literature.

This study aims to examine the influence of Social Media Marketing, Bundling Price, and Electronic Word of Mouth on Purchase Decisions for Spotify Premium, with Brand Awareness functioning as a mediating variable. A quantitative approach was applied using a survey method involving 120 Spotify Premium users in South Tangerang. The research instrument employed a Likert scale and was analyzed using Structural Equation Modeling with Partial Least Squares to evaluate validity, reliability, and causal relationships among variables. The results reveal that Social Media Marketing, Bundling Price, and Electronic Word of Mouth have positive and significant effects on both Brand Awareness and Purchase Decisions. Brand Awareness significantly mediates these relationships, strengthening the impact of digital marketing variables on subscription decisions. The findings demonstrate that consumer decision processes progress through attention, brand recognition, and conversion, shaped by exposure to digital content, perceived value of bundled pricing, and peer-generated reviews that reinforce trust and perceived service quality. This study highlights the importance of strategic and experience-driven digital marketing in increasing customer acquisition for subscription-based music streaming services.

This study aims to describe how Citizenship Education (PPKn) is implemented to shape the character of second-grade students at Madrasah Ibtidaiyah Sukamanah in Tanggeung, Cianjur. Employing a descriptive qualitative method, the research gathered data through classroom observations, interviews with teachers, and analysis of documentation related to learning activities. The findings show that PPKn learning delivered through teacher modeling, guided discussions, and consistent habitual practices effectively cultivates key character values, including discipline, honesty, responsibility, and tolerance. The integration of PPKn material with Islamic moral teachings further enhances students’ comprehension of their rights and obligations, while also reinforcing positive behavior in their daily routines. Despite these strengths, the study identifies several challenges, such as the limited availability of learning media and the diverse backgrounds of students, which influence the learning dynamics in the classroom. Overall, the results emphasize that PPKn serves as an essential foundation for character education, and its implementation needs to be continuously strengthened through innovative instructional approaches, supportive school policies, and active collaboration with students’ families to ensure optimal character development.

This study examines the influence of good governance principles on village fund utilization effectiveness in Indonesia. Using a quantitative approach with Structural Equation Modeling - Partial Least Squares (SEM-PLS), we analyze data from 385 village officials across five provinces in Indonesia. The research integrates stewardship theory and agency theory to explain how transparency, accountability, participation, and rule of law affect village fund management performance. Results demonstrate that transparency (β=0.342, p<0.01) and accountability (β=0.287, p<0.01) significantly enhance village fund utilization effectiveness, while participation (β=0.219, p<0.05) shows moderate influence. Rule of law (β=0.156, p>0.05) does not significantly affect fund utilization, suggesting implementation challenges. The model explains 68.4% variance in village fund utilization effectiveness (R²=0.684). This study contributes to governance literature by providing empirical evidence from emerging economies and offers practical implications for policymakers to strengthen village-level financial management through enhanced transparency mechanisms and accountability systems. The findings highlight the critical role of good governance in achieving sustainable rural development goals.

This study aims to describe and analyze the influence of the online attendance application (Sisensi) on employee productivity through employee discipline in the production division of Perumda Air Minum Tirta Mayang, Jambi City. The method used is quantitative analysis with a population of employees and a sample of 94 respondents. Data were collected using a Likert scale–based questionnaire, and the analysis was conducted using the Structural Equation Modeling (SEM) technique based on Partial Least Squares (PLS) with the aid of SmartPLS 4 software. The results of the study show that: (1) the online attendance application has a positive and significant effect on employee productivity, (2) the online attendance application has a positive and significant effect on employee discipline, (3) employee discipline has a positive and significant effect on employee productivity, and (4) employee discipline is able to mediate the effect of the online attendance application on employee productivity. The recommendations derived from this study are as follows: For the employee productivity variable, it is suggested that the company provide relevant and continuous training, establish clear and easily understood Standard Operating Procedures (SOP), and conduct regular mentoring and evaluations to increase the amount of work that employees can complete. For the online attendance application variable, the company is advised to enhance the practicality and ease of use of the application, enabling employees to better understand and utilize the system. For the employee discipline variable, the company should conduct regular socialization sessions regarding the proper use of facilities and resources according to established standards to prevent damage, excessive use, and misuse.    

This study aims to analyze the transformation process of Islamic edupreneurship values in developing an educational ecosystem oriented toward independence and blessing (barakah) within Islamic schools. The low entrepreneurial and independent spirit among students remains a major challenge for Islamic educational institutions seeking to instill spiritually grounded entrepreneurship values. This research employed a qualitative descriptive approach through a case study at an Islamic elementary school. Data were collected through observation, interviews, and documentation. The results reveal that the internalization of Islamic edupreneurship values—such as amanah (trustworthiness), shidq (honesty), jiddiyyah (diligence), ibda‘ (creativity), and mas’uliyyah (responsibility)—successfully shifted students’ mindset from consumptive to productive orientation with a focus on barakah. The transformation occurred through curriculum integration, teacher modeling, socio-economic projects, and spiritual habituation. The Islamic edupreneurship-based ecosystem strengthened students’ character, microeconomic independence, and the culture of blessed work. This study recommends developing an Integrative Islamic Edupreneurship Curriculum Model to foster a competitive and morally upright generation.

Bridge planning is a fundamental aspect in the development of transportation infrastructure that functions to connect regions, facilitate traffic flow, and support economic and social growth in the community. This study aims to comprehensively examine the stages of bridge planning, from identifying traffic needs and analyzing geotechnical conditions to selecting a structure type, and evaluating technical, economic, and environmental aspects. The methods used include field surveys, traffic data collection, design load analysis, and structural simulation using modeling software. The study results indicate that bridge type selection is not only determined by load capacity and cost efficiency, but must also consider sustainability, aesthetics, and the impact on the surrounding ecosystem. This study emphasizes the importance of integrating technical, social, and environmental aspects in bridge planning, so that the resulting design can provide a safe, efficient, and sustainable solution. Thus, bridge planning is not merely a technical process, but also a development strategy that supports connectivity and community welfare.

The transformation of education in the digital era demands a strong moral foundation to ensure that technological advancement does not erode human values. Pancasila, as the ideological and ethical foundation of Indonesia, plays a crucial role in guiding educational transformation to remain rooted in national moral values. This study aims to analyze the relevance and implementation of Pancasila values in shaping the morality of Generation Z amid the digitalization of education. The research employs a qualitative method with a descriptive-analytical approach through literature review, policy analysis, and observation of students’ digital behavior. The findings indicate that the internalization of Pancasila values within the digital education ecosystem contributes to strengthening character, ethical responsibility, and national awareness among Generation Z. However, key challenges include the lack of moral value integration in digital content and weak role modeling within educational environments. In conclusion, Pancasila-based educational transformation is not merely a technological innovation but a moral process that requires synergy among the government, educators, and society to create a humanistic, ethical, and civilized digital ecosystem.

The purpose of this study is to examine and explain the influence of workload on job satisfaction with job stress as a mediating variable at PT. BPR Karya Artha Sejahtera Indonesia. This research employs a quantitative causality approach with a sample of 86 respondents selected using a saturated sampling technique. Data were collected through questionnaires and analyzed using inferential analysis with the SEM-PLS (Structural Equation Modeling – Partial Least Squares) method through the SmartPLS version 4.0 software. The results indicate that workload has a positive effect on job stress and a negative effect on job satisfaction. Job stress has a negative effect on job satisfaction and is proven to mediate the relationship between workload and job satisfaction. These findings support the two-factor theory and emphasize that poorly distributed workload can cause employees to experience stress at work. Job stress can reduce employees’ satisfaction with their jobs. This study is expected to provide practical contributions to the research site in improving job satisfaction by considering workload and job stress.

This literature study evaluates the accuracy of the Slope Mass Rating (SMR) method for coal mine slope stability in Indonesia through a systematic descriptive synthesis of 25 empirical studies from 2020 to 2025. The objectives of the study were to identify the level of SMR prediction accuracy, factors affecting the method's performance, and modifications required for local Indonesian conditions. The research method involved a systematic search with inclusion criteria for empirical studies reporting SMR and/or Safety Factor (SF) values ​​for coal mines and associated slopes in Indonesia. Quantitative analysis showed a range of reported SMR values ​​between 41 and 96 with a median of 72, while SF values ​​ranged from 1.137 to 4.09 for normal operational conditions. The synthesis results indicated that SMR provides a consistent stability classification for initial slope design and failure mode identification (planar, wedge, toppling), with historical validation showing a correlation of up to 91.23% between SMR-based hazard zoning and actual field events in some cases. Key limitations include dependence on discontinuity data quality, sensitivity to groundwater conditions and tropical weathering, and variation in the interpretation of adjustment factors F1-F4. Modifications such as NAAF23 and integration with numerical modeling have been shown to improve prediction reliability. It is recommended that coal mining practitioners combine SMR with kinematic analysis and limit equilibrium modeling as standard operating procedures, and develop adjustment factors specific to Indonesian geological conditions. Further research should focus on standardizing parameter reporting and cross-site quantitative validation to enable more robust statistical meta-analyses.  

Accurate wind turbine power curve modeling plays a crucial role in performance evaluation, energy yield estimation, and data-driven control strategies. However, actual power curves often exhibit non-linear behavior influenced by atmospheric variability, measurement noise, and SCADA anomalies, making conventional modeling approaches less effective. This study proposes an optimized logistic power curve model whose parameters are tuned using Particle Swarm Optimization (PSO) to improve predictive accuracy. The analysis uses the Wind Turbine SCADA Dataset from Kaggle, which undergoes extensive preprocessing including physical rule filtering, outlier detection with the Interquartile Range (IQR) method, anomaly removal, and smoothing of the power signal. A three-parameter logistic model is selected due to its ability to capture the typical S-shaped relationship between wind speed and power output. PSO is applied to identify optimal model parameters by minimizing the Mean Squared Error (MSE), utilizing 40 particles over 200 iterations. The optimized model achieves strong predictive performance with RMSE of 404.09, MAE of 179.96, and R² of 0.904 on the test set, indicating that more than 90% of the variability in actual power can be explained by wind speed. Residual analysis reveals heteroscedastic patterns and slight overestimation in mid-range wind speeds, yet overall model consistency remains high. Comparative evaluation against Linear Regression, Random Forest, and logistic modeling using curve_fit shows that the Logistic–PSO approach provides the most accurate and stable predictions. These findings demonstrate that combining logistic modeling with PSO offers an effective and robust method for data-driven wind turbine power curve optimization.

Globalization is a major phenomenon that brings rapid changes in the mindset, behavior, and culture of society, including students in formal educational settings. This condition presents significant challenges for Islamic Religious Education, which plays a crucial role in shaping character and internalizing Islamic values. This study aims to analyze how globalization influences students’ understanding, attitudes, and practices of Islamic values, as well as how Islamic Religious Education can respond adaptively to these changes. This research employs a qualitative approach using a literature study method that reviews books, scholarly articles, and relevant documents related to globalization, Islamic education, and character formation. Data were analyzed through processes of collection, classification, and interpretation to identify patterns of global influence on Islamic values. The findings reveal that globalization offers two major impacts: opportunities for the development of religious literacy through technological and informational access, and threats in the form of external values such as hedonism, individualism, and decreasing religious sensitivity. These findings highlight the need for educational strategies that balance the use of technology with the reinforcement of Islamic character, including the integration of Islamic values into digital-based learning, strengthening teacher role modeling, and habituating moral behavior within school activities. The implications of this study emphasize the importance of innovation in Islamic Religious Education to maintain the relevance of Islamic values amid the ongoing developments of globalization.